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You're trully helpful! Thanks a lot
ОтветитьThank you very much, form Kiribati islands
ОтветитьGG!!!!! Thanks
ОтветитьAlways very helpful, huge fan if yours! Cheers from Barcelona
ОтветитьIs age considered something fixed about a person? I know age change over time, but it changes for all individuals in the same way. I can't figure out if I should control for age in my two-way fixed effects model?
ОтветитьFYI - per my notes, there are two ways of removing fixed effects - one method he's talking about sounds like "demeaning" and another method is first differencing. Correct me if I'm wrong :)
ОтветитьHi Nick
I am doing some regressions and have models where i include year FE and others where i inculde year FE and country FE. Adding country fixed effects removes all statistical significance from my models. Would it then be appropriate to say:
"Interestingly the inclusion of country fixed effects removes all significance from all the models. This means that by controlling for country specific unobservable in the model there is no longer any significant results. This could mean that there is a variable that explains how voting coincidence changes over time that is not included in our models. This could be a variable that isn’t included in our dataset or even a variable that is not able to be measured."
Thanks.
Thanks a lot for the video. Let‘s suppose I have a cross-sectional dataset with each observation being a different firm. The firm’s can be from two different industries. Did I understand you correctly that it is impossible to make a firm fixed effects regression on this? And also no industry fixed effects regression as we only have two industries? Would appreciate a response from you a lot! Many thanks!
Ответитьwould you be willing to share the animation code?
ОтветитьGreat video! Thank you for the explanation! :D I will check out the other videos on your channel!
Ответитьlifesaver
ОтветитьYour videos are incredibly helpful!
ОтветитьVery useful. Thanks :)
ОтветитьThanks. Really good explanation!
ОтветитьThank you so much. Great explanation.
ОтветитьHi Nick, i'd like thank you for this serie of videos. They are both supportive and helpful to people like me - someone new in causality.
Ответитьvery interactive and engaging, thank you very much
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